Fresno AI Engineering

AI Development and Consulting in Fresno

We design, integrate, and operationalize AI systems that produce measurable outcomes while maintaining governance, privacy, and reliability.

AI Foundations and Readiness

Establish the data, infrastructure, and control surface required for dependable AI assisted workflows.

Data Consolidation and Access: Source system inventory, extraction pipelines, cleaning, and governed access layers.
Retrieval and Context Strategy: Embedding generation, chunking policies, vector indexing, and context assembly logic.
Model and Provider Selection: Evaluate latency, capability, cost, privacy posture, and regional deployment constraints.
Security and Privacy Controls: Redaction, PII classification, data minimization, and secrets handling.
Cost and Performance Monitoring: Token, latency, error, hallucination, and adoption metrics.
Governance and Risk Mitigation: Usage policies, audit records, fallback logic, and human review workflows.

Targeted implementations accelerating knowledge retrieval, task completion, and decision clarity.

Knowledge Retrieval Assistants: Context grounded answers reducing manual document search time.
Workflow and Process Co Pilots: Step guidance, validation, summarization, and handoff generation.
Data Enrichment and Classification: Categorization, normalization, and attribute extraction powering analytics.
Summarization and Reporting: Condensed narratives, trend surfacing, and variance highlighting.
Forecasting and Optimization Models: Demand, capacity, and scheduling insights guiding allocation.
Automation and Orchestration: Trigger, queue, and API driven actions reducing repetitive manual steps.

Monitoring, evaluation, and iteration ensure AI systems remain accurate, cost effective, and safe.

Evaluation Frameworks: Scenario test sets, regression scoring, and grounding verification.
Guardrails and Fallback Design: Input validation, output filters, and deterministic fallback handlers.
Deployment and Version Control: Prompt, model, and embedding version tracking with rollback options.
Drift and Quality Monitoring: Behavior deviation detection and prioritized remediation.
Feedback Integration Loops: User rating capture, error tagging, and improvement queue curation.
Scaling and Cost Management: Caching, batching, model tier routing, and concurrency controls.

Complementary capabilities extending insight and accelerating delivery.

We can turn your idea into reality.